Data Engineer- Azure Fabric

Paltech Consulting; Hyderabad; Hybrid; INR 1,800,000 - 3,200,000; Full time

Job summary

Paltech Consulting invites a Senior Microsoft Fabric Data Engineer to join our data platform team in India. Focus on building enterprise-grade data pipelines, optimizing lakehouse and data warehouse solutions, and ensuring secure, scalable data platforms for analytics.

The role requires strong PySpark/SQL skills, data warehousing expertise, and hands-on Fabric experience to drive migration and modernization initiatives.

Qualifications

• 4+ years of overall data engineering experience.
• 2+ years hands-on Microsoft Fabric implementation experience.
• Strong expertise in PySpark, SQL, Data Warehousing and PowerBI.

Responsibilities

• Enterprise-level data pipelines and workflows.
• Optimized Lakehouse and Data Warehouse solutions.
• Reliable and secured data platforms.
• Business-ready datasets for reporting and analytics.
• Automated monitoring and data quality frameworks.

Skills

Microsoft Fabric components

OneLake

DataFactory

Lakehouse

DataWarehouse

DataEngineering

DataScience

Real-TimeAnalytics

PowerBI

SQL

Python

PySpark

SparkSQL

T-SQL

AzureDataServices

AzureDataLakeStorage(ADLS)

AzureSynapseAnalytics

AzureDatabricks

AzureSQLDatabase

Tools

PowerBI

Job description

RequiredSkills&QualificationsTechnicalSkills

• StrongexperiencewithMicrosoftFabriccomponents:
  • OneLake
  • DataFactory
  • Lakehouse
  • DataWarehouse
  • DataEngineering
  • DataScience
  • Real-TimeAnalytics
  • PowerBI
• Proficiencyin:
  • SQL
  • Python
  • PySpark
  • SparkSQL
  • T-SQL
• Experiencewith:
  • AzureDataServices
  • AzureDataLakeStorage(ADLS)
  • AzureSynapseAnalytics
  • AzureDatabricks
  • AzureSQLDatabase
  • PowerBI

ExperienceRequirements

SeniorMicrosoftFabricDataEngineer

• 4+yearsofoveralldataengineeringexperience.
• 2+yearsofhands-onMicrosoftFabricimplementationexperience.
• StrongexpertiseinPySpark,SQL,DataWarehousing,andPowerBI.
• Experienceleadingdatamigrationandmodernizationinitiatives.

KeyDeliverables

• Enterprise-leveldatapipelinesandworkflows.
• OptimizedLakehouseandDataWarehousesolutions.
• Reliableandsecuredataplatforms.
• Business-readydatasetsforreportingandanalytics.
• Automatedmonitoringanddataqualityframeworks.